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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 3979
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    oai_token-act-pair · gpt-3.5-turbo

    references to icons and iconography

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ndum
    -0.73
    nder
    -0.69
    nda
    -0.69
    actory
    -0.66
    REAM
    -0.65
    IGH
    -0.65
    idden
    -0.65
    THER
    -0.64
    razil
    -0.63
    apeake
    -0.62
    POSITIVE LOGITS
    ocl
    1.39
     icon
    1.03
     icons
    1.00
    ically
    0.95
     Icon
    0.91
    ographically
    0.91
    icon
    0.88
    nect
    0.87
    icons
    0.87
    ographic
    0.84
    Activations Density 0.006%

    No Known Activations